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DH_o_m – AI Model by iamhack | AlphaNeural AI | AlphaNeural AI
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DH_o_m
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transformers
tensorboard
safetensors
hubert
audio-classification
generated_from_trainer
audiofolder
ntu-spml/distilhubert
finetune
apache-2.0
model-index
endpoints_compatible
us
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DH_o_m
This model is a fine-tuned version of
ntu-spml/distilhubert
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0032
Accuracy: 0.9995
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
distributed_type: tpu
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0258
1.0
287
0.0157
0.9988
0.0111
2.0
575
0.0062
0.9994
0.0067
3.0
863
0.0047
0.9995
0.0063
4.0
1151
0.0036
0.9995
0.0018
4.99
1435
0.0032
0.9995
Framework versions
Transformers 4.37.2
Pytorch 2.0.0+cu118
Datasets 2.17.0
Tokenizers 0.15.1
